Computer vision is unleashing endless new potential for tomorrow’s industry.
Discover some Clea use cases.
PCV Park Manager
Clea enables smart parking systems to detect vehicles faster with high accuracy on the edge:
– Andvanced entrance and access control,
– Detects and records vehicles’ violations and incidents,
– Enhanced security system.
22%
Increased revenue
29%
Reduction of violations
License Plate Analysis
Clea enables traffic management systems to gain valuable insights for optimized mobility of people and vehicles in real-time.
– Real time traffic congestion recognition,
– Traffic light adaptation based on traffic flow.
37%
Traffic reduction
29%
Reduction of car accidents
Real-time production line monitoring system.
The solution detects component installation anomalies during production and provides meaningful insights to the operator.
42%
Increase in production quality
32%
Performance optimization
The system detects, counts people and tracks their behaviour in an environment enabling advanced value-added services for the customer.
42%
Crime reduction
34%
Resource optimisation
License Plate Recognition
The system is capable of processing multiple high-resolution video streams in real time in order to prevent infringements and monitor the traffic volume.
56%
higher intervention speed
23%
Reduction of violations
Discover the optimised Clea apps ready to be deployed
Based on: SECO ADLER or UDOO VISION Intel® Atom™ x7-E3950 Quad Core @1.6 GHz (Burst 2.0GHz), 2MB L2 Cache, 12W TDP
Software: Ubuntu 20.04 and OpenVINO 2021.4.689
Models: person-detection-retail-0013, person-reidentification-retail-0288
PERFORMANCES
Running on: GPU
Average FPS: 10
Energy Consumption: 11W
Based on: SECO ADLER or UDOO VISION Intel® Atom™ x7-E3950 Quad Core @1.6 GHz (Burst 2.0GHz), 2MB L2 Cache, 12W TDP
Software: Ubuntu 20.04 and OpenVINO 2021.4.689
face-detection-adas-0001, age-gender-recognition-retail-0013, emotions-recognition-retail-0003
PERFORMANCES
Running on: GPU
Average FPS: 6.9
Energy Consumption: 19W
Based on: SECO ADLER or UDOO VISION Intel® Atom™ x7-E3950 Quad Core @1.6 GHz (Burst 2.0GHz), 2MB L2 Cache, 12W TDP and Hailo-8 AI Processor
Software: Ubuntu 20.04 and Hailo Software Suit 2022-07.1
Models: centerpose_regnetx_1.6gf_fpn
PERFORMANCES
Running on: Hailo-8 GPU
Average FPS: 67
Energy consumption: 13W
Based on: SECO ADLER or UDOO VISION Intel® Atom™ x7-E3950 Quad Core @1.6 GHz (Burst 2.0GHz), 2MB L2 Cache, 12W TDP and Hailo-8 AI Processor
Software: Ubuntu 20.04 and Hailo Software Suit 2022-07.1
Models: yolact_regnetx_800mf_fpn_20classes
PERFORMANCES
Running on: Hailo-8 GPU
Average FPS: 11
Energy consumption: 16W
Network | Original framework | AI model type |
SSD Inception-V2 | Tensorflow | Object Detection |
Face detection (SSD based) | Caffe | Object Detection |
Yolov3 | Darknet/ONNX | Object Detection |
Yolov4 | Darknet/ONNX | Object Detection |
Yolov3-tiny | Darknet | Object Detection |
OpenPose | PyTorch | Pose Estimation |
FCN-Alexnet | Caffe | Segmentation |
Intel Segmentation | Caffe | Segmentation |
Clea Computer Vision App Store
Data Collection / & Work Orders
Management of progress in production orders and monitoring of resources and alternative operations
Quality Monitoring
Report, Statistics and KPIs
Track the impact of workplace change
Age, Gender and Emotion Recognition
AI facial expression analysis
Monitor adherence to safety protocols on construction sites or on in a smart factory.
Quality Management
Automated visual inspection and quality control of production processes
Skill Training
Evaluation of human action aimed to training and quality inspection
Contact information
Get in touch with us and know more about Clea for Edge AI Solutions with one of our consultants.